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1. SLRpackage_AcceleratedCV_matlab SLRpackage_AcceleratedCV_matlab Public

   Sparse linear regression package with accelerated cross-validation. L_1, SCAD, MCP penalties are covered. The algorithm for optimization is cyclic coordinate descent.

   MATLAB 8

2. AMPR_lasso_python AMPR_lasso_python Public

   Bootstrap resampling is used to estimate confidence interval of variables in Lasso (some famous methods are bolasso and stability selection). This MATLAB package performs this in an efficient manne…

   Python 5 1

3. AMPR_lasso_matlab AMPR_lasso_matlab Public

   Bootstrap resampling is used to estimate confidence interval of variables in Lasso (some famous methods are bolasso and stability selection). This MATLAB package performs this in an efficient manne…

   MATLAB 3 1

4. AcceleratedCVonMLR_python AcceleratedCVonMLR_python Public

   This Python package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an anal…

   Python 2 1

5. AcceleratedCVonMLR_matlab AcceleratedCVonMLR_matlab Public

   This MATLAB package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an anal…

   MATLAB 1

6. graphBIX graphBIX Public

   Forked from tatsuro-kawamoto/graphBIX

   Graph clustering by Bayesian inference with cross-validation model assessment

   Julia